Papers by Zhuo Zhi

2 papers
Self-Edit: Fault-Aware Code Editor for Code Generation (2023.acl-long)

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Challenge: Existing Large language models (LLMs) have low pass rates and accuracy on competitive programming tasks.
Approach: They propose a generate-and-edit approach that uses execution results of generated code from LLMs to improve code quality on competitive programming tasks.
Outcome: The proposed method improves pass@1 by 89% on APPS-dev, 31% on apps-test, and 48% on HumanEval over nine popular code generation LLMs with parameter sizes ranging from 110M to 175B.
Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models (2026.acl-long)

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Challenge: Recent studies suggest that RLVR amplifies behaviors inherent to the pre-training distribution rather than inducing new capabilities.
Approach: They propose a framework for RLVR that extends the spatial reasoning boundary . they use a mapping framework where the difficulty is precisely regulated by path length and number of turns .
Outcome: The proposed framework extends the spatial reasoning boundary on two real-world navigation benchmarks.

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